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    MatchbookAI XDM

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    Deployed on AWS
    Matchbook XDM is our next-generation external data mastering platform that unifies first-party records with multiple third-party and regional data sources into a context-aware, use-case-ready business entity graph. Built on Matchbook's proven high-precision matching (core + anchor), XDM adds schema-flexible ingestion, locale-aware cleansing, multi-source cascade enrichment, confidence scoring, and policy-driven stewardship so teams can align "the right version of the truth" to each workflow (risk, revenue ops, AML/KYC, analytics). Delivered as API and bulk services. MATCHBOOK XDM offers a SaaS-based, modular approach that reduces implementation time, simplifies B2B entity data governance, and significantly lowers total cost of ownership (TCO). XDM turns fragmented B2B data into governed, trusted intelligence.

    Overview

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    Matchbook XDM is a cloud-native external data mastering platform that goes beyond traditional MDM. It blends messy first-party records with licensed commercial, regulatory, and regional datasets at scale - in AWS, in near real time. Where legacy MDMs require long projects and brittle rules, XDM is API-first, SaaS-delivered, and low-code configurable. Stand up quickly, connect sources, and begin cleansing, matching, enriching, and governing B2B entity data in days - not quarters. XDM inherits Matchbook's proven AI entity resolution (core + anchor, multi-pass matching) and adds multi-source cascade enrichment, locale-aware cleansing, confidence scoring with auto-accept policies, and human-in-the-loop stewardship. Business and data teams create governed, context-aware golden records tuned to the needs of Sales, Risk, Compliance, Operations, and Analytics - without re-architecting existing systems.
    Continuously publish mastered data to AWS data lakes, lakehouses, analytics stacks, and operational apps by stream or batch. Monitor quality, lineage, and stewardship activity end-to-end.

    Key Benefits
    Rapid deployment; guided onboarding - initial loads in days, typical rollout <30 days. Up to ~80% lower TCO vs custom / heavyweight MDM through automation & SaaS ops.
    Accurate, explainable AI matching with configurable rules & evidence panels.
    Multi-source enrichment; governed connectors to premium / regional data.
    Context-aware golden records for Sales, Risk, Tax, AML, and more.
    Always-on quality: streaming validation, anomaly scoring, alerts, dashboards.
    Self-service stewardship; low-code policies; full audit & rollback.
    Elastic AWS scale; pay for what you process.

    Core Capabilities
    Entity Resolution & Matching - Deduplicate and align fragmented records across CRMs, ERPs, data lakes, and external feeds; tune thresholds; auto-promote high-confidence results.
    Cascade Enrichment - Ordered source hierarchies; merge with provenance; score reliability.
    Cleansing & Locale Normalization - Parse smashed fields; global address/postal standardization; transliteration & business suffix handling.
    Confidence & Auto-Accept - Composite scores (match, source, geo, freshness) route records to automation or stewardship by country/domain.
    Hierarchy & Relationship Graphs - Map parent/child, global ultimate, customer - supplier linkages for 360 insight.
    Steward Workbench - Exception queues, side-by-side compare, merge/split, full audit trail.
    Real-Time & Batch Publish - Stream to Kinesis/EventBridge; land to S3, Redshift, Snowflake (AWS), Databricks; push back to CRM/ERP/MarTech.
    Quality Monitoring - Trend match rates, score drift, freshness, steward backlog; alert via SNS/Slack/email.

    Editions & Licensing
    SaaS (Consumption): Metered by input volume + active mastered entities; includes standard connectors & dashboards.
    Enterprise Subscription: Annual / multi-year tiers; optional premium connectors & data packs; dedicated VPC / private deployment available.
    BYO Data Licenses: Bring your subscribed external datasets under governed ingestion.

    Common Use Cases
    Customer 360 & lead enrichment.
    Global supplier / vendor mastering & spend visibility.
    Data lake cleansing & governance prior to analytics / AI.
    Compliance, AML, KYC augmentation with external registrations & address truth.
    M&A data harmonization and post-deal integration.
    Spend & category analytics; diversity reporting.

    Who Uses Matchbook
    Enterprises in technology, healthcare, industrial, financial services, and more rely on Matchbook platforms to power trusted analytics, risk, revenue ops, and regulatory reporting (select Fortune 100 deployments; references available under NDA).

    Getting Started on AWS
    Subscribe in AWS Marketplace.
    Select Hosted SaaS (fastest) or Private SaaS in your AWS account (VPC / PrivateLink).
    Connect data sources (S3, JDBC, APIs; optional guided CRM/ERP connectors).
    Configure match & auto-accept policies; define source cascade.
    Load sample; review matches & quality metrics.
    Promote to production; enable streaming updates & downstream publishes.

    Contact
    sales@matchbookai.com  | <www.matchbookai.com >

    Highlights

    • Unified Customer View & Multi-Domain Mastering: Achieve a single, trusted 360 view of customer data across systems, enabling personalized engagement and better customer experience. Manage company and location data from a single platform to drive consistency and trust across domains, ensuring a comprehensive and reliable data foundation.
    • Operational Efficiency & AI-Powered Data Management: Enhance operational efficiency by preventing duplication, reducing data entry errors, and improving synchronization between CRM, ERP, Finance, Marketing, Sales, and other enterprise systems. Leverage AI/ML to intelligently match, merge, and deduplicate records, enhancing data quality at scale with minimal manual effort.
    • Self-Service Data Access & Stewardship: Enable teams to search, visualize, and consume golden records through intuitive dashboards and APIs, reducing IT dependency. Empower data stewards with intuitive tools to review, resolve, and approve data changes, ensuring business ownership of data quality. Monitor key data quality metrics in real-time - completeness, accuracy, duplication, and timeliness - to drive continuous improvement.

    Details

    Delivery method

    Deployed on AWS

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    Financing for AWS Marketplace purchases

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    Pricing

    MatchbookAI XDM

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    Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (1)

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    Dimension
    Description
    Cost/month
    Overage cost
    MatchbookAI MDM
    MatchbookAI MDM platform with all the functionalities up to 50000 records and single host. Please reach us at sales@matchbookai.com for more information about pricing based on your business requirements.
    $1,000.00

    Vendor refund policy

    We don't have a refund policy. Please reach us at sales@matchbookai.com  for more details.

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    Software as a Service (SaaS)

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